Seeking Expert-Level Algorithmic Trader with Proven AI/ML Bot Development Experience

I’m looking for an experienced algorithmic trader who has successfully built, deployed, and maintained profitable trading bots for equities or options, ideally incorporating AI/machine-learning components. This is not a purely development-focused role - what I’m really looking for is someone who understands the full picture, including: Strategy design Risk management Execution logic Model training/evaluation Live deployment challenges Monitoring and iteration My goal is to learn from someone who has already walked this path, so that I can avoid the usual pitfalls. Think of this as a consulting and best-practices advisory relationship, with 1-2 calls/month, plus availability for questions via Slack/Discord. I’m interested in speaking with people who have real-world experience, not just academic ML or backtests that never went live. Responsibilities: Discuss existing or past AI/ML-based trading systems you’ve developed Review different architecture options (data pipelines, features, models, execution) Help evaluate realistic vs. unrealistic expectations Provide guidance on risk management for algorithmic systems Walk through what actually works in live markets vs. what fails Advise on tools, tech stack, and development workflow Help design or refine a sandbox prototype bot (optional) Requirements (Must-Have): Proven track record building live trading bots (options or equities) Experience implementing or using machine learning models for entry/exit decisions Deep understanding of execution quality, slippage, latency, and order routing Comfort discussing strategy logic - not just “coding what someone else tells you” Strong knowledge of risk metrics, position sizing, and edge evaluation Ability to communicate clearly and honestly about what works and what doesn’t Experience with one or more: Python, C#, TensorFlow/PyTorch, IBKR API, Alpaca, Tradier, QuantConnect, TA-Lib, etc. Nice-to-Haves: Experience with options greeks modeling in automation Prior quant research background Experience building multi-bot or modular strategy frameworks Real PnL screenshots or live results (optional but appreciated) Apply tot his job